Research Catalog

Title

Dynamic, genetic, and chaotic programming : the sixth-generation / [edited by] Branko Souček and the IRIS Group.

Publication

New York : Wiley, ©1992.

Items in the Library & Off-site

Details

Additional Authors

• Souček, Branko.
• IRIS Group.

Description

xv, 568 pages : illustrations; 25 cm

Summary

Natural language, decision making, nonstationary environments, and other dynamic processes and systems represent some of the greatest challenges facing sixth generation computer technologies. Here, for the first time, is a practical software engineering and applications-oriented work that applies five new neural, genetic, and chaotic paradigms--including the much heralded genetic programming--to a full range of dynamic processes and systems for engineers, designers, developers, and students alike. Each of the paradigms listed below is examined, described, tested, and compared using a range of examples and problems to highlight their unique features and uses: adaptive learning--reinforcement learning and recurrent neural networks; rule-based computing--automated knowledge acquisition; genetic algorithms--adaptation of strings of characters or blocks describing dynamic processes; genetic programming--adaptation of hierarchically structured computer programs; and software of chaos--nonlinear dynamics in the presence of strange attractors. The book presents a unified treatment of material that has previously been scattered worldwide over a number of publications and research reports--as well as previously unpublished methods and results from the IRIS (Integration of Reasoning, Informing and Serving) Group. Dynamic, Genetic, and Chaotic Programming: The Sixth Generation imitates organic evolutionary processes, parallelism, and collective learning paradigms of natural populations, and in this way offers new revolutionary methods for scientific and technical data processing.

Series Statement

Sixth-generation computer technology series

Uniform Title

Sixth-generation computer technology series.

Subject

• Computer programming
• Neural networks (Computer science)
• Neural Networks, Computer
• computer programming
• Computer
• Generation 6
• Programmierung
• Chaostheorie
• Dynamisches System
• Genetischer Algorithmus
• Neuronales Netz
• Neurale netwerken
• Programmeren (computers)
• Chaos
• Algorithme génétique
• Réseau neuronal
• Programmation
• Ordinateurs > Programmation
• Réseaux neuronaux (informatique)

Note

• "A Wiley-Interscience publication."

Bibliography (note)

• Includes bibliographical references and index.

Contents

• Paradigm/problem matching / Branko Souček -- Dynamic systems control via associative reinforcement learning / Vijaykumar Gullapalli -- Knowledge acquisition for dynamic system control / Tanja Urbančič and Ivan Bratko -- Analysis of recurrent back propagation and its application to language acquisition / Ryotaro Kamimura and M.C. Han -- Recognition and restoration of periodic patterns with time-dependent recurrent neural network / Ryotaro Kamimura -- Adaptive stack filtering by LMS and perception learning / Nirwan Ansari, Yuchou Huang, and Jean-Hsang Lin -- Automatic modeling of acoustic emission phenomena by neural networks / Igor Grabec -- Managing the traffic of a satellite communication network by neural network / Nirwan Ansari -- An introduction to adaptive optimization algorithms based on principles of natural evolution / Yuval Davidor and Hans-Paul Schwefel.
• The genetic programming paradigm : genetically breeding populations of computer programs to solve problems / John R. Koza -- Genetic algorithms in robotics / Yuval Davidor -- Efficient multiprocessor scheduling based on genetic algorithms / Edwin S.H. Hou, Hong Ren, and Nirwan Ansari -- A genetic algorithm for point pattern matching / Nirwan Ansari, Ming-Hwang Chen, and Edwin S.H. Hou -- Artificial embryology : the genetic programming of an artificial embryo / Hugo de Garis -- Structure evolution in neural systems / Reinhard Lohmann -- Evolution strategies for circuit partitioning / Martin Hulin -- Continuous chaos and logical chaos / Vito Leonardo Plantamura, Branko Souček, and Ivanka Štajner -- Prediction of chaotic dynamical phenomena by a neural network / Igor Grabec -- Dynamic versus genetic versus chaotic programming / Borut Maričič -- Parallel scheduling of random and of chaotic processes / Charles Schelberg.

ISBN

• 047155717X
• 9780471557173

LCCN

91034146

OCLC

• ocm24467180
• 24467180
• SCSB-1963676

Owning Institutions

Princeton University Library